Removing noise from feature vectors
First Claim
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1. A method of identifying a clean signal feature vector from a noisy signal feature vector, the method comprising:
- generating at least two mixture components for a prior probability describing combinations of clean signal feature vectors with obscuring feature vectors; and
using each mixture component of the prior probability and the noisy signal feature vector to identify the clean signal feature vector.
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Abstract
A method and computer-readable medium are provided for identifying clean signal feature vectors from noisy signal feature vectors. Aspects of the invention use mixtures of distributions of noise feature vectors and/or channel distortion feature vectors when identifying the clean signal feature vectors.
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Citations
20 Claims
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1. A method of identifying a clean signal feature vector from a noisy signal feature vector, the method comprising:
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generating at least two mixture components for a prior probability describing combinations of clean signal feature vectors with obscuring feature vectors; and
using each mixture component of the prior probability and the noisy signal feature vector to identify the clean signal feature vector. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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13. A computer-readable medium comprising computer-executable instructions for performing steps comprising:
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receiving a feature vector representing a portion of a noisy signal; and
identifying a feature vector representing a portion of a clean signal from the feature vector for the noisy signal through steps comprising;
determining an intersection of at least two distributions of obscuring feature vectors with at least one distribution of model clean signal feature vectors;
using the intersection to identify at least two mixture components for a probability distribution that describes the prior probability of combinations of obscuring feature vectors and clean signal feature vectors; and
using the mixture components of the prior probability and the feature vector for the noisy signal to identify the feature vector for the clean signal. - View Dependent Claims (14, 15, 16, 17, 18, 19, 20)
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Specification